Knowledge Engineer Manager - Back-end Engineer
San DiegoLast seen today
Summary
Manage the design, build, and optimization of enterprise knowledge graph infrastructure, including data ingestion pipelines, vector database deployment, and graph query APIs. Own end-to-end responsibility for knowledge graph data hydration, ontology mapping (RDF/SPARQL/R2RML), relational and graph database optimization, and secure handling of sensitive data. Lead containerization and cloud deployment of graph services while collaborating with architects and application teams. Requires 5+ years hands-on experience with semantic technologies, graph databases (Neo4j, Stardog), vector stores (Pinecone, Weaviate), relational databases (PostgreSQL, MySQL, SQL Server), and proficiency in Python or Java for integration and API design.
DevOps / InfrastructureSoftware DevelopmentAWSAzureDockerJavaKubernetesPythonSQLTerraformAmazon NeptuneApache AirflowApache KafkaApache NifiAPI GatewayAWS NeptuneAzure Cosmos DBCsvCsvwCytoscape JSD3 JSElasticsearchETLFederated Knowledge GraphsGCPGitGraphdbGraphQLHelmJsonKnowledge GraphsMilvusMySQLNeo4jOntology MappingOpensearchOwlPineconePostgreSQLQdrantR2rmlRabbitmqRAG Retrieval Augmented GenerationRdfRdfsREST ApisShaclSkosSparqlSQL ServerStardogVector EmbeddingsWeaviateXml